Senior Data Scientist

Google; San Francisco (CA); Hybrid; USD 207,000 - 237,000; Full time

Job summary

Google in San Francisco, CA, USA is seeking a Senior Data Scientist to drive advanced analytics, model building, and data-driven product insights. The role emphasizes collaboration with cross-functional teams to solve complex business problems and inform product strategy.

The position requires deep expertise in SQL, Python, and R, with experience in data visualization, stakeholder management, and product analytics. A senior-level track with a competitive salary and equity is offered.

Qualifications

• Bachelor’s degree with 6 years of progressive post-baccalaureate experience in Data Science or related field.
• Alternative: Master’s degree with 3 years of related experience.
• 3 years of experience in SQL, Python, or R for data manipulation, analysis, and modeling; statistical analysis for inferences and trends; UX measurement or attribution modeling; product analytics; and cross-functional collaboration.

Responsibilities

• Extract, format, and validate complex datasets from multiple sources; ensure data quality and readiness.
• Perform advanced analyses using SQL, R, and Python to solve problems and deliver solutions.
• Report KPIs to leadership and translate analytics into actionable product insights.
• Prototype scalable business cases and build robust data processes.
• Advocate for data-driven product development by aligning cross-functional teams.

Skills

SQL

Python

R

Statistical analysis

Product analytics

Stakeholder management

Data visualization

Education

Bachelor’s degree in Data Science/Statistics/Mathematics/Physics/Economics/OR

Master’s degree in Data Science/Statistics/Mathematics/Physics/Economics/OR

Job description

Senior Data Scientist

Google

San Francisco, CA, USA

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Minimum qualifications:

• Bachelor’s degree in Data Science, Statistics, Mathematics, Physics, Economics, Operations Research or a related field and 6 years of progressive post-baccalaureate experience in the job offered or in a Data Scientist-related occupation.
• Alternatively, will accept a Master’s degree in Data Science, Statistics, Mathematics, Physics, Economics, Operations Research or a related field, and 3 years of experience in the job offered or in a Data Scientist-related occupation.
• Position requires 3 years of experience in the following: Coding in SQL, Python, or R to manipulate, analyze, visualize large datasets, and build models; Statistical analysis or quantitative data synthesis to draw inferences, identify trends, and solve product or business problems; User experience measurement or attribution modeling to evaluate customer interactions; Product analytics or business intelligence to define metrics, create dashboards, and measure success; and Stakeholder management or cross-functional collaboration to align objectives, gather consensus, and persuade leaders.

About the job

The US base salary range for this full-time position is $206,600 - $237,000+ 15% bonus target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about benefits at Google.

Position reports to the Google San Francisco, CA office & may allow for a hybrid schedule as per Google policy.

Responsibilities

• Extract, format, and validate complex datasets from multiple sources to guarantee quality and analysis readiness.
• Execute advanced analyses utilizing SQL, R, and Python to resolve ambiguous problems and deliver optimal solutions.
• Report Key Performance Indicators to leadership and translate analytical results into actionable product improvement insights.
• Prototype scalable business cases and build robust processes with the foresight to anticipate future challenges.
• Master internal data structures and metrics to effectively advocate for impactful product development changes. Influence cross-functional teams to align strategic resources while providing oversight and setting standards for data scientists.

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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.